ASSAMESE MOVIE RECOMMENDATION SYSTEM USING MACHINE LEARNING.Diploma Final Project

To promote Assamese cinema by developing a regional movie recommendation system that provides targeted suggestions based on user preferences.

  • 🛠️ Key Features:
  • ✅ Custom, Hand-Curated Dataset: Featuring Assamese movies including titles, genres, cast, and descriptions.
  • ✅ Content-Based Filtering: Recommends movies similar to the user's choice using content-related attributes.
  • ✅ Machine Learning Techniques Used:
  1. TF-IDF Vectorizer: Extracts key features from movie metadata.
  2. Cosine Similarity: Calculates similarity scores between movies.
  3. Difflib: Handles fuzzy matching for user-input movie names.

🎯 Outcome: Boosts visibility of Assamese films and enhances user engagement with meaningful recommendations.

movie system
web development

LEARNING PROJECTS | WEB-BASED DEVELOPMENT.

Explored and practiced modern web development by building and cloning various websites, and implementing full-stack applications using trending technologies.

  • 🛠️ Hands-On Projects:
  • 🔁 Web Page Cloning: Cloned popular UIs like Spotify, Twitter (X), and others to understand layout structure, responsiveness, and component reusability.
  • ⚙️ Tech Stack Used:
  1. Frontend: React, Next.js, Redux
  2. Backend: Node.js, Express.js
  3. Additional Tools: REST APIs, JSON, and basic authentication features

🎯 Learning Outcomes:

  • Strengthened understanding of component-based architecture, state management, and server-side development.
  • Gained practical experience in building responsive, interactive, and scalable web applications.

REAL-TIME FACIAL EXPRESSION ANALYSIS & BODY MOVEMENT MONITORING FOR CONSUMER SATISFACTION AND THREAT DETECTION IN COMMERCIAL MALLSB.Tech Minor Project

  • 📌 Objective:

    • To develop an AI-powered surveillance system for commercial malls that performs:

  • Facial Emotion Detection to understand customer satisfaction in real-time.
  • Threat Detection to identify and prevent potential product theft or suspicious behavior.
  1. TF-IDF Vectorizer: Extracts key features from movie metadata.
  2. Cosine Similarity: Calculates similarity scores between movies.
  3. Difflib: Handles fuzzy matching for user-input movie names.

🎯 Outcome: Boosts visibility of Assamese films and enhances user engagement with meaningful recommendations.

shopping mall